Publications

Export 309 results:
Author Title [ Type(Desc)] Year
Book Chapter
Niethammer, M., S. Bouix, S. Aja-Fernández, C-F. Westin, and M. E. Shenton, "Outlier rejection for diffusion weighted imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 161–168, 2007.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Parallel MRI noise correction: an extension of the LMMSE to non central $\chi$ distributions", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: Springer Berlin Heidelberg, pp. 226–233, 2011.
González-Jaime, L., M. Nachtegeal, E. Kerre, G. Vegas-Sanchez-Ferrero, and S. Aja-Fernández, "Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering", Pattern Recognition and Image Analysis: Springer Berlin Heidelberg, pp. 358–365, 2013.
Martín-Martínez, D., A. Domingues, P. Casaseca-de-la-Higuera, C. Alberola-Lopez, and M. J Sanches, "PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones", Lecture Notes in Computer Science, vol. 9117: Springer International Publishing, pp. 595–602, 2015.
Vegas-Sanchez-Ferrero, G., S. Aja-Fernández, M. Martin-Fernandez, A. F. Frangi, and C. Palencia, "Probabilistic-driven oriented speckle reducing anisotropic diffusion with application to cardiac ultrasonic images", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: Springer Berlin Heidelberg, pp. 518–525, 2010.
Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "Quality Assessment of Tensor Images", Tensors in Image Processing and Computer Vision: Springer London, pp. 79–103, 2009.
Cárdenes-Almeida, R., E. Muñoz-Moreno, R. Sarabia-Herrero, D. Argibay-Quiñones, and M. Martin-Fernandez, "Quantitative Analysis of Pyramidal Tracts in Brain Tumor Patients Using Diffusion Tensor Imaging", Tumors of the Central Nervous System, Volume 4: Springer Netherlands, pp. 143–152, 2012.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, pp. 92–100, 2003.
Muñoz-Moreno, E., R. Cárdenes-Almeida, and M. Martin-Fernandez, "Review of techniques for registration of diffusion tensor imaging", Tensors in Image Processing and Computer Vision: Springer London, pp. 273–297, 2009.
de Luis-Garcia, R., C. Alberola-Lopez, and C-F. Westin, "Segmentation of tensor fields: Recent advances and perspectives", Tensors in Image Processing and Computer Vision: Springer, pp. 35–58, 2009.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Signal LMMSE estimation from multiple samples in MRI and DT-MRI", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 368–375, 2007.
Brun, A., M. Martin-Fernandez, B. Acar, E. Muñoz-Moreno, L. Cammoun, A. Sigfridsson, D. Sosa-Cabrera, B. Svensson, M. Herberthson, and H. Knutsson, "Similar Tensor Arrays–A Framework for Storage of Tensor Array Data", Tensors in Image Processing and Computer Vision: Springer London, pp. 407–428, 2009.
Curiale, A. H., G. Vegas-Sanchez-Ferrero, and S. Aja-Fernández, "Speckle tracking in interpolated echocardiography to estimate heart motion", Functional Imaging and Modeling of the Heart: Springer Berlin Heidelberg, pp. 325–333, 2013.
Sanchez-Ferrero, G. V., and J. I. Arribas, "A statistical-genetic algorithm to select the most significant features in mammograms", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 189-196, 2007.
Curiale, A. Hernán, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Techniques for tracking: image registration", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
Westin, C-F., M. Martin-Fernandez, C. Alberola-Lopez, J. Ruiz-Alzola, and H. Knutsson, "Tensor field regularization using normalized convolution and markov random fields in a bayesian framework", Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 381–398, 2006.
de Luis-Garcia, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Tensor processing for texture and colour segmentation", Image Analysis: Springer, pp. 1117–1127, 2005.
Cordero-Grande, L., G. Vegas-Sanchez-Ferrero, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Topology-preserving registration: a solution via graph cuts", Combinatorial Image Analysis: Springer, pp. 420–431, 2011.
Martin-Fernandez, M., S. Bouix, L. Ungar, R. W. McCarley, and M. E. Shenton, "Two methods for validating brain tissue classifiers", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: Springer Berlin Heidelberg, pp. 515–522, 2005.
Marcos-Lagunar, C., C. Cavero-Barca, A. María Quintero-Padrón, X. Planes, F. Simmross-Wattenberg, C. Alberola-Lopez, M. Martin-Fernandez, N. Martín-Hernández, E. Calderón-Oliveras, J. Corral-Herranz, et al., "Ubiquitous tele-monitoring kit (UTK): measuring physiological signals anywhere at anytime", Ambient Assisted Living and Home Care: Springer, pp. 183–191, 2012.
Merino-Caviedes, S., and M. Martin-Fernandez, "User Interfaces to Interact with Tensor Fields", Tensors in Image Processing and Computer Vision: Springer London, pp. 429–454, 2009.

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